双11账号威胁发现推荐

import datetime

# 模拟用户登录日志
login_logs = [
    {"user_id": 1, "login_time": datetime.datetime(2023, 11, 10, 20, 0), "location": "Beijing"},
    {"user_id": 1, "login_time": datetime.datetime(2023, 11, 11, 2, 0), "location": "Shanghai"},
    {"user_id": 1, "login_time": datetime.datetime(2023, 11, 11, 4, 0), "location": "Guangzhou"},
]

def detect_anomalies(logs):
    for i in range(1, len(logs)):
        prev_log = logs[i - 1]
        curr_log = logs[i]
        if (curr_log["user_id"] == prev_log["user_id"] and
            abs((curr_log["login_time"] - prev_log["login_time"]).total_seconds()) < 3600 and
            curr_log["location"] != prev_log["location"]):
            print(f"ALERT: User {curr_log['user_id']} has logged in from different locations within an hour!")

detect_anomalies(login_logs)